Beam is a tool to quickly build machine learning-powered applications. Our platform helps developers run their code on serverless GPUs, deploy highly performant APIs, and rapidly prototype ML models — without managing any infrastructure.

Machine learning is eating software, but it’s still difficult for developers to leverage ML in their products. Today, companies are spending months building their own ML platforms, or relying on outdated tools that were originally designed for academics.

We believe that for ML to reach widespread adoption, the underlying infrastructure needs to be hidden from the user. We're building the fastest way for developers to go from an ML prototype to a production service.

Beam helps developers build and run AI and LLM applications on serverless GPUs, without managing infrastructure. Hundreds of teams are using Beam to power their applications in production. And we have a thriving community of developers using our platform to build state-of-the-art apps with AI.

We’re looking to hire someone to help us with Platform Engineering work. We’re working on lots of fun problems:

• Low-level systems development: working with container runtimes, OCI image formats, and lazy-loading large files from content addressable storage
• Efficiently packing thousands of workloads into GPUs across multiple clouds
• Working with cutting-edge technologies, like GPU checkpoint restore and CRIU

Our backend is mostly in Go, with some Python. We work in-person from our office in Brooklyn, NY and collaborate closely with customers.

This role is in-person in New York. Please only apply if you currently live in New York or plan to relocate there.

Skills & Experience

• 3-5 years of experience working with a large distributed system
• Comfortable with Kubernetes
• Experience writing a statically typed language, like Golang or Rust
• Familiarity with things like gRPC, Helm/Kustomize, and Terraform
• Excited to collaborate closely with customers
• Enthusiasm for developer tools, cloud native technologies, and open source software

Benefits

• Competitive salary and meaningful equity
• Join a fast-growing pre-series A company at the ground floor
• Health, dental, and vision benefits with 90% coverage for you and 50% for dependents
• Opportunities to participate in events across the cloud native community
• Fitness stipend, learning budget, and much, much more

Our infra code is mostly in Go, but our backend APIs are in Python. We work extremely closely with our customers – they’re all in a communal Slack channel with us, so it’s important that you’re interested in interacting with them (luckily, our customers are all developers).